
facebook-mcp-serverFacebook MCP server for automating posts, comment moderation, insights, and sentiment filtering.
Overview
Key features
- post_to_facebook
- reply_to_comment
- get_page_posts
- get_post_comments
- delete_post
- delete_comment
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Automated Comment Moderation
Use the Facebook MCP Server to automatically moderate comments on a Facebook Page, filtering out negative feedback and hiding or deleting comments as needed.
Scheduled Posting
Use the Facebook MCP Server to schedule posts for future publication, allowing for more efficient content management and planning.
Social Media Analytics
Use the Facebook MCP Server to fetch post insights and analytics, providing valuable data for social media managers to optimize their content strategy.
Pros & Cons
Pros
- Empowers social media managers to automate moderation and analytics
- Seamlessly integrates with Claude Desktop or any Agent client
- Enables fine-grained control over Facebook content from natural language
Cons
- Requires Facebook Page credentials and setup
- Dependent on Facebook Graph API limitations and changes
Reviews
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Q&A
What are the main limitations when using facebook-mcp-server?
It requires valid Facebook Page credentials and proper setup. Additionally, it is subject to Facebook Graph API limits and any future changes in the API that could affect functionality.
Asked by Wesley Adekunle · Jul 23, 2025
What can I automate with this tool?
You can create new posts, reply to or delete comments, fetch recent posts and comments, and delete posts. It also supports sentiment filtering and negative feedback removal, making it useful for routine moderation and analytics.
Asked by Sami Virtanen · Jun 30, 2025
How does facebook-mcp-server integrate with other tools or agents?
The server exposes LLM-friendly functions that can be called from Claude Desktop or any agent client. By using the provided JSON‑formatted function calls, you can trigger actions like posting or moderating directly from your AI workflow.
Asked by Petros Georgiou · Jun 6, 2025
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